Alternatives and similar repositories for PINNs:

Users that are interested in PINNs are comparing it to the libraries listed below

• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆585Updated 3 years ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆539Updated last month
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆300Updated 9 months ago
• idrl-lab / PINNpapers
  Must-read Papers on Physics-Informed Neural Networks.
  ☆1,109Updated last year
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆476Updated 10 months ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆307Updated 8 months ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆332Updated 2 years ago
• neuraloperator / physics_informed
  ☆435Updated 2 weeks ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆380Updated 2 weeks ago
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆300Updated 2 years ago
• bitzhangcy / Neural-PDE-Solver
  ☆904Updated this week
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆220Updated 3 years ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆626Updated 2 years ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆284Updated last year
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆275Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆199Updated 3 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆112Updated 10 months ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆468Updated this week
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆222Updated 4 years ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆258Updated last year
• PredictiveIntelligenceLab / jaxpi
  ☆290Updated last month
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆335Updated last year
• maziarraissi / HFM
  Hidden Fluid Mechanics
  ☆321Updated 2 years ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆224Updated 5 months ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆382Updated last year
• PredictiveIntelligenceLab / CausalPINNs
  ☆160Updated last year
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆160Updated 4 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆185Updated 2 years ago
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆875Updated 2 months ago
• alexpapados / Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
  Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…
  ☆171Updated 2 years ago